from __future__ import annotations from collections.abc import Mapping from typing import Any, TypeVar, BinaryIO, TextIO, TYPE_CHECKING, Generator from attrs import define as _attrs_define from attrs import field as _attrs_field from ..types import UNSET, Unset from ..types import UNSET, Unset from dateutil.parser import isoparse from typing import cast import datetime T = TypeVar("T", bound="PackSummary") @_attrs_define class PackSummary: """ Simplified pack response (for list endpoints) Attributes: created (datetime.datetime): Creation timestamp Example: 2024-01-13T10:30:00Z. id (int): Pack ID Example: 1. is_standard (bool): Is standard pack label (str): Human-readable label Example: Slack Integration. ref (str): Unique reference identifier Example: slack. tags (list[str]): Tags Example: ['messaging', 'collaboration']. updated (datetime.datetime): Last update timestamp Example: 2024-01-13T10:30:00Z. version (str): Pack version Example: 1.0.0. description (None | str | Unset): Pack description Example: Integration with Slack for messaging and notifications. """ created: datetime.datetime id: int is_standard: bool label: str ref: str tags: list[str] updated: datetime.datetime version: str description: None | str | Unset = UNSET additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict) def to_dict(self) -> dict[str, Any]: created = self.created.isoformat() id = self.id is_standard = self.is_standard label = self.label ref = self.ref tags = self.tags updated = self.updated.isoformat() version = self.version description: None | str | Unset if isinstance(self.description, Unset): description = UNSET else: description = self.description field_dict: dict[str, Any] = {} field_dict.update(self.additional_properties) field_dict.update({ "created": created, "id": id, "is_standard": is_standard, "label": label, "ref": ref, "tags": tags, "updated": updated, "version": version, }) if description is not UNSET: field_dict["description"] = description return field_dict @classmethod def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T: d = dict(src_dict) created = isoparse(d.pop("created")) id = d.pop("id") is_standard = d.pop("is_standard") label = d.pop("label") ref = d.pop("ref") tags = cast(list[str], d.pop("tags")) updated = isoparse(d.pop("updated")) version = d.pop("version") def _parse_description(data: object) -> None | str | Unset: if data is None: return data if isinstance(data, Unset): return data return cast(None | str | Unset, data) description = _parse_description(d.pop("description", UNSET)) pack_summary = cls( created=created, id=id, is_standard=is_standard, label=label, ref=ref, tags=tags, updated=updated, version=version, description=description, ) pack_summary.additional_properties = d return pack_summary @property def additional_keys(self) -> list[str]: return list(self.additional_properties.keys()) def __getitem__(self, key: str) -> Any: return self.additional_properties[key] def __setitem__(self, key: str, value: Any) -> None: self.additional_properties[key] = value def __delitem__(self, key: str) -> None: del self.additional_properties[key] def __contains__(self, key: str) -> bool: return key in self.additional_properties